AI Distillery

Build teamintelligence youcan deploy.

Turn real examples, team feedback, and domain standards into dedicated models your organization can reuse across the stack.

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Dedicated Models

From ideato deployedmodel

No heavy ML pipeline. No fragmented tooling. Just a practical path from idea to a deployed model.

Describe the task

Start with a simple prompt. Describe the domain knowledge your model should learn.

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AI Distillery

What teamsbuild withDistillery

Turn domain expertise into something reusable and deployable.

Example use cases

Revenue Operations

self-evalfine-tune

RFP Response Drafting

A dedicated model that turns your past proposals, approved messaging, and pricing rules into faster first drafts for sales teams.

Outcome

Faster proposal turnaround with more consistent messaging and less manual rework.

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Engineering Quality

self-eval

Test Case Generator

A dedicated model that turns product requirements, specs, and bug history into structured test scenarios your team can review and run.

Outcome

More reliable release prep with faster test design and better coverage of edge cases.

View example

Legal Operations

self-eval

Contract Risk Review

A dedicated model that flags risky clauses, missing safeguards, and review priorities based on your legal standards and fallback language.

Outcome

Quicker first-pass contract review with clearer escalation and more consistent issue spotting.

View example

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